Triple
T9936679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BK117 D-2 |
E193975
|
entity |
| Predicate | certificationCategory |
P60165
|
FINISHED |
| Object | civil rotorcraft |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: civil rotorcraft | Statement: [BK117 D-2, certificationCategory, civil rotorcraft]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: certificationCategory Context triple: [BK117 D-2, certificationCategory, civil rotorcraft]
-
A.
typeOfCertification
chosen
Indicates the specific kind or category of certification associated with an entity.
-
B.
certificationLevel
Indicates the specific rank or degree of formal qualification or authorization that an entity has achieved within a defined certification system.
-
C.
certificationBy
Indicates that one entity formally attests to, approves, or validates the qualifications, standards, or authenticity of another entity.
-
D.
courseCertification
Indicates that an entity has been formally certified as having successfully completed a particular course.
-
E.
includesCertification
Indicates that one entity contains, lists, or encompasses a specified certification as part of its attributes or offerings.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca82e409348190a393777356b80a2a |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb5e4e19881909879b394090d6629 |
completed | April 2, 2026, 12:18 a.m. |
| PD | Predicate disambiguation | batch_69cd1d9428cc81909b4b4938566d78a7 |
completed | April 1, 2026, 1:28 p.m. |
Created at: March 30, 2026, 8:44 p.m.